A dissertation submitted in partial fulfillment of the requirements for the degree of Bachelor of computer science
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MSA university Faculty of Computer Science
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Faculty Of Computer Science Graduation Project 2019 - 2020;
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Abstract
Farmers have a problem in detecting plant diseases from the beginning but according to their work ,they could detect the disease after a certain time .This problem will lead to throwing the farms ‘products away and with that I decided to solve this problem using deep learning to help farmers to detect the diseases of plants in any level in order to recover its infection easily .The project will be implemented using deep learning and we will work on spyder 3.7 to train the plant using its leaves .The results that will be occurred in training and testing accuracies are more than 50%
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